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Performance of the Dutch clinical prediction rule for the ambulation outcome after spinal cord injury in a middle-income country clinical setting: an external validation study in the Thai retrospective cohort

Abstract

Objective

To perform external geographic and domain validation of the clinical prediction rule (CPR) of the ambulation outcome of patients with traumatic spinal cord injury (SCI) originally developed by van Middendorp, et al. (2011) in Thais with traumatic and non-traumatic SCI.

Study design

Retrospective cohort study.

Setting

A tertiary rehabilitation facility in Chiang Mai, Thailand.

Methods

A validation data set, including predictive (age and four neurological variables) and outcome (ambulation status) parameters was retrospectively collected from medical records of patients with traumatic and non-traumatic SCI admitted between December 2007 and December 2019. The performance of the original model was evaluated in both discrimination and calibration aspects, using an area under the receiver-operating characteristic curve (auROC) and calibration curves, respectively.

Results

Three hundred and thirty-three patients with SCI were included in the validation set. The prevalence of ambulators was 59% (197 of 333 participants). An auROC of 0.93 (95% CI 0.90–0.96) indicated excellent discrimination whereas the calibration curve demonstrated underestimation, especially in patients with AIS grade D. Performance of the CPR was decreased but acceptable in patients with non-traumatic SCI.

Conclusions

Our external validation study demonstrated excellent discrimination but slightly underestimated calibration of the CPR of ambulation outcome after SCI. Regardless of the geographic and etiologic background of the population, the Dutch CPR could be applied to predict the ambulation outcome in patients with SCI.

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Fig. 1
Fig. 2: A calibration plot demonstrating predictive probabilities (solid line) and observed outcomes (circles) in this validation set.
Fig. 3
Fig. 4

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.

References

  1. Ditunno PL, Patrick M, Stineman M, Ditunno JF. Who wants to walk? preferences for recovery after SCI: a longitudinal and cross-sectional study. Spinal Cord. 2008;46:500–6.

    Article  CAS  PubMed  Google Scholar 

  2. Kannisto M, Merikanto J, Alaranta H, Hokkanen H, Sintonen H. Comparison of health-related quality of life in three subgroups of spinal cord injury patients. Spinal Cord. 1998;36:193–9.

    Article  CAS  PubMed  Google Scholar 

  3. Kirshblum SC, Priebe MM, Ho CH, Scelza WM, Chiodo AE, Wuermser LA. Spinal cord injury medicine. 3. Rehabilitation phase after acute spinal cord injury. Arch Phys Med Rehabil. 2007;88:S62–70.

    Article  PubMed  Google Scholar 

  4. Maribo T, Jensen CM, Madsen LS, Handberg C. Experiences with and perspectives on goal setting in spinal cord injury rehabilitation: a systematic review of qualitative studies. Spinal Cord. 2020;58:949–58.

    Article  PubMed  Google Scholar 

  5. D'Arrigo G, Gori M, Pitino A, Torino C, Roumeliotis S, Tripepi G. Statistical methods to assess the prognostic value of risk prediction rules in clinical research. Aging Clin Exp Res. 2021;33:279–83.

    Article  PubMed  Google Scholar 

  6. Trongtrakul K, Patumanond J, Phairatwet P, Sawawiboon C, Chitsomkasem A, Kurathong S, et al. External validation of the acute kidney injury risk prediction score for critically ill surgical patients who underwent major non-cardiothoracic surgery. Healthcare (Basel). 2021;9:209.

    Article  PubMed  Google Scholar 

  7. Phinyo P, Patumanond J, Saenrungmuaeng P, Chirdchim W, Pipanmekaporn T, Tantraworasin A, et al. Transferability of the early-stage ovarian malignancy (EOM) score: an external validation study that includes advanced-stage and metastatic ovarian cancer. Arch Gynecol Obstet. 2021;303:1539–48.

    Article  PubMed  Google Scholar 

  8. van Middendorp JJ, Hosman AJ, Donders AR, Pouw MH, Ditunno JF Jr., Curt A, et al. A clinical prediction rule for ambulation outcomes after traumatic spinal cord injury: a longitudinal cohort study. Lancet. 2011;377:1004–10.

    Article  PubMed  Google Scholar 

  9. Kay ED, Deutsch A, Wuermser LA. Predicting walking at discharge from inpatient rehabilitation after a traumatic spinal cord injury. Arch Phys Med Rehabil. 2007;88:745–50.

    Article  PubMed  Google Scholar 

  10. Burns SP, Golding DG, Rolle WA Jr, Graziani V, Ditunno JF Jr. Recovery of ambulation in motor-incomplete tetraplegia. Arch Phys Med Rehabil. 1997;78:1169–72.

    Article  CAS  PubMed  Google Scholar 

  11. Scivoletto G, Morganti B, Molinari M. Neurologic recovery of spinal cord injury patients in Italy. Arch Phys Med Rehabil. 2004;85:485–9.

    Article  PubMed  Google Scholar 

  12. van Silfhout L, Peters AE, Graco M, Schembri R, Nunn AK, Berlowitz DJ. Validation of the Dutch clinical prediction rule for ambulation outcomes in an inpatient setting following traumatic spinal cord injury. Spinal Cord. 2016;54:614–8.

    Article  PubMed  Google Scholar 

  13. Malla R. External validation study of a clinical prediction rule for ambulation outcomes after traumatic spinal cord injury. Texas Medical Center Dissertations (via ProQuest). University of Texas; School of Public Health; Houston, Texas 2013:AAI1541012.

  14. García-Rudolph A, Wright MA, Benito J, Vidal J, Tormos JM, Opisso E, et al. Clinical prediction rule validation for ambulation outcome after traumatic spinal cord injury in a Spanish population. J Trauma Nurs. 2022;29:201–9.

    Article  PubMed  Google Scholar 

  15. Flack JA, Sharma KD, Xie JY. Delving into the recent advancements of spinal cord injury treatment: a review of recent progress. Neural Regen Res. 2022;17:283–91.

    Article  CAS  PubMed  Google Scholar 

  16. Kovindha A. People with spinal cord injury in Thailand. Am J Phys Med Rehabil. 2017;96:S120–S3.

    Article  PubMed  Google Scholar 

  17. Pagano M, Gauvreau K, Mattie H. Principles of biostatistics (3rd ed.). Boca Raton: Chapman and Hall/CRC; 2022:620.

  18. Safari S, Baratloo A, Elfil M, Negida A. Evidence based emergency medicine; Part 5 receiver operating curve and area under the curve. Emerg (Tehran). 2016;4:111–3.

    PubMed  Google Scholar 

  19. Moons KGM, Altman DG, Reitsma JB, Ioannidis JPA, Macaskill P, Steyerberg EW, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1–W73.

    Article  PubMed  Google Scholar 

  20. Pattanakuhar S, Kammuang-Lue P, Kovindha A, Komaratat N, Mahachai R, Chotiyarnwong C. Is admission to an SCI specialized rehabilitation facility associated with better functional outcomes? Analysis of data from the Thai Spinal Cord Injury Registry. Spinal Cord. 2019;57:684–91.

    Article  PubMed  Google Scholar 

  21. Sturt R, Hill B, Holland A, New PW, Bevans C. Validation of a clinical prediction rule for ambulation outcome after non-traumatic spinal cord injury. Spinal Cord. 2020;58:609–15.

    Article  PubMed  Google Scholar 

  22. Buzzell A, Chamberlain JD, Gmünder HP, Hug K, Jordan X, Schubert M, et al. Survival after non-traumatic spinal cord injury: evidence from a population-based rehabilitation cohort in Switzerland. Spinal Cord. 2019;57:267–75.

    Article  CAS  PubMed  Google Scholar 

  23. Buzzell A, Chamberlain JD, Eriks-Hoogland I, Jordan X, Schubert M, Zwahlen M, et al. Etiology-specific variation in survival following non-traumatic spinal cord injury: a causal inference approach using data from a population-based cohort. Spinal Cord. 2021;59:257–65.

    Article  PubMed  Google Scholar 

  24. Phan P, Budhram B, Zhang Q, Rivers CS, Noonan VK, Plashkes T, et al. Highlighting discrepancies in walking prediction accuracy for patients with traumatic spinal cord injury: an evaluation of validated prediction models using a Canadian Multicenter Spinal Cord Injury Registry. Spine J. 2019;19:703–10.

    Article  PubMed  Google Scholar 

  25. Pilutti LA, Hicks AL. Rehabilitation of ambulatory limitations. Phys Med Rehabil Clin N Am. 2013;24:277–90.

    Article  PubMed  Google Scholar 

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Acknowledgements

SP would like to acknowledge the Swiss Government Excellence Scholarship 2022, postdoctoral fellowship.

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Contributions

BR designed the research question, collected and analyzed the data, and wrote the preliminary version of the manuscripts. PW, LL, and PP designed the research question, analyzed the data, and revised the final version of the manuscripts. SP designed the research question, analyzed the data, wrote the preliminary version, and revised the final version of the manuscripts.

Corresponding author

Correspondence to Sintip Pattanakuhar.

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Competing interests

The authors declare no competing interests.

Ethics approval

We certify that the protocol of this analysis was approved by The Research Ethics Committee, Faculty of Medicine, Chiang Mai University (Research ID: REH256307168 / Study code: REH256307168).

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Rajchagool, B., Wongyikul, P., Lumkul, L. et al. Performance of the Dutch clinical prediction rule for the ambulation outcome after spinal cord injury in a middle-income country clinical setting: an external validation study in the Thai retrospective cohort. Spinal Cord 61, 608–614 (2023). https://doi.org/10.1038/s41393-023-00917-y

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